List Product Sets

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering the safety profile. The description adds behavioral context by stating what the tool returns ('product set IDs, names, filters, and product counts') and hints at pagination via the limit parameter. This is a moderate value-add but does not disclose any additional behavior like error conditions or rate limits.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise and well-structured with a front-loaded purpose, a clear args list, and a return-value note. The args list is somewhat redundant with the schema but packaged efficiently. All sentences serve a purpose, and the format makes it easy to scan.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple read-only listing operation, the description is reasonably complete. It states what the tool returns, which is crucial since there is no output schema. Annotations cover the safety profile, and the schema covers parameter details including response_format. The description does not mention potential prerequisites (e.g., needing a valid catalog), but that is not required for a basic list call. Given the tool's low complexity, this is adequate.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the baseline is 3. The description adds minimal extra meaning beyond the schema: it repeats 'catalog_id' and 'limit' with the same constraints already present (1–100, default 25). It does not add semantics for response_format, which is also documented in the schema. No significant value beyond the schema is provided.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb ('Lists') and resource ('product sets (subgroups)') with scope ('in a catalog'). This clearly distinguishes it from sibling tools like meta_list_products and meta_list_product_catalogs, which list different entities. The parenthetical clarifies what a product set is, leaving no ambiguity.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description does not explicitly state when to use this tool versus alternatives. Sibling tools include meta_list_products and meta_list_product_catalogs, and there is no guidance on choosing between them. The context is clear that this is for product sets, but no exclusions or alternative routing are provided, leaving the agent to infer usage based on the tool name and description alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.